Dr. Bipun Man Pati, D.Eng.

Dr. Bipun Man Pati is a Sr. Assistant Professor of Department of Electronics and Computer Engineering at Advanced College of Engineering and Management since May 2023. He is also the Chief of Artificial Intelligence (AI) Research Center.

Education and Experience
Dr. Bipun Man Pati received the B.Eng. degree in Information Technology from Nepal College of Information Technology, Nepal, in 2010. He received the scholarship from Asian Development Bank–Japan Scholarship Program (ADB–JSP) to obtain the M.Eng. degree in Telecommunication Engineering from Asian Institute of Technology (AIT), Thailand, in 2016. He then obtained D.Eng. degree in Telecommunication Engineering, from Asian Institute of Technology (AIT), Thailand, in 2020. During October 2019 – March 2020.
Dr. Bipun Man Pati served as Research Intern at National Institute of Informatics (NII), Tokyo, Japan under NII International Internship Program. During 2021-2022, he served as a Postdoctoral Fellow at Faculty of Pharmaceutical Science, Chulalongkorn University, Thailand. From January 2021 to August 2023, he also served as a Senior Research Associate at GLODAL, Inc., Yokohama, Japan. 

Research areas
Wireless communication, Artificial Intelligence, Spectrum Sensing, Cellular Communications

Scholarship and Award
1. Awarded Second Century Fund (C2F) postdoctoral fellowship by Chulalongkorn University, Bangkok, Thailand.
2. Awarded National Institute of Informatics (NII) fellowship, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Tokyo, Japan.
3. Asian Institute of Technology Fellowship (50%) for pursuing Doctor Engineering in Telecommunication at Asian Institute of Technology, Pathum Thani, Thailand.
4. Awarded Asian Development Bank- Japan Scholarship Program (ADB-JSP) for pursuing Master of Engineering in Telecommunication at Asian Institute of Technology, Pathum Thani, Thailand.

Publications with ACEM
1. Thapa, U., Pati, B. M., Thapa, S., Pyakurel, D., & Shrestha, A. (2024). Comparative Analysis of Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques. Water, 16 (15), 2095 (Impact Factor: 3.0)

2. Pati, B. M., Chohan, R., Ghimire, R., Kunwar, A., & Shrestha, A. (2024, June). An Assessment Study on TV White Space in Nepal Using Low-Cost Spectrum Analyzer. In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS) (pp. 1-7). IEEE.

3. Bernardo, J. B. L., Taparugssanagorn, A., Miyazaki, H., Pati, B. M., & Thapa, U. (2024). Robust human activity recognition for intelligent transportation systems using smartphone sensors: A position-independent approach. Applied Sciences, 14(22), 10461. https://doi.org/10.3390/app142210461 (Impact Factor: 2.5)
 

Publications

1. Pati, B. M., Kaneko, M., & Taparugssanagorn, A. (2020). A deep convolutional neural network based transfer learning method for non-cooperative spectrum sensing. IEEE Access, 8, 164529-164545.

2. Maharjan, N., Miyazaki, H., Pati, B. M., Dailey, M. N., Shrestha, S., & Nakamura, T. (2022). Detection of river plastic using UAV sensor data and deep learning. Remote Sensing, 14(13), 3049. 

3. Mahanta, M., Taparugssanagorn, A., & Pati, B. M. (2022). Assessment of spectrum sensing using support vector machine combined with principal component analysis. International Journal of Sensor Networks, 39(4), 256-278.

4. Man Pati, B., & Taparugssanagorn, A. (2016). Performance Analysis of the Effect of Nonlinear Low Noise Amplifier for Wideband Spectrum Sensing in the Poisson Field of Interferers. Journal of Computer Networks and Communications, 2016.

5. Pati, B. M., Taparugssanagorn, A., Lertsinsrubtavee, A., & Tansakul, N. (2019). Performance Study of Television with Spaces (TVWS) Pilot Network in Thailand. NBTC Journal, 3(3), 98-119.

6. Pati, B. M., Lertsinsrubtavee, A., Taparugssanagorn, A., Kanchanasut, K., & Sathiaseelan, A. (2018, June). Adaptive threshold setting for determining spectrum occupancy in TV white space in Thailand. In Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (pp. 1-5) ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018), 06/20 - TECH MUSEUM (SAN JOSE, CA, USA).

7. “Adaptive Threshold Setting for Determining Spectrum Occupancy in TV White Space in Thailand ”SmartCom 2018 -The 5th International Workshop on Smart Wireless Communications, Oct. 30th, 31st, 2018 Mandarin Hotel, Bangkok, Thailand. (Poster Presentation) (SMARTCOM 2018, Bangkok, Thailand). (https://www.ieice.org/ken/program/index.php?tgs_regid=9ae5fdc304aee8c5f9894310c9cca96958047bdc9b3fb64ea5bca8c2d33f319c&tgid=IEICE-SR&lang=eng).

8. Analyzing the performance of adaptive threshold setting for TV White Space. In 14th Asian Internet Engineering Conference (AINTEC) 12-14 November 2018. (https://interlab.ait.ac.th/aintec2018/).

9. Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques. (https://doi.org/10.3390/w16152095)

Email: bipunmanpati@acem.edu.np